In silico fragment-based drug design with SEED

被引:16
|
作者
Marchand, Jean-Remy [1 ]
Caflisch, Amedeo [1 ]
机构
[1] Univ Zurich, Dept Biochem, CH-8057 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
Fragment-based drug design; Fragment docking; SEED; X-ray crystallography; Screening cascade; SEED2XR; X-RAY CRYSTALLOGRAPHY; FAVORABLE BINDING-SITES; HIGH-THROUGHPUT DOCKING; COPY SIMULTANEOUS SEARCH; HYDROGEN-BOND FUNCTIONS; LIGAND PROBE GROUPS; MOLECULAR-DYNAMICS; KINASE INHIBITORS; FREE-ENERGY; BROMODOMAIN INHIBITORS;
D O I
10.1016/j.ejmech.2018.07.042
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
We report on two fragment-based drug design protocols, SEED2XR and ALTA, which start by high throughput docking. SEED2XR is a two-stage protocol for fragment-based drug design. The first stage is in silico and consists of the automatic docking of 10(3)-10(4) fragments using SEED, which requires about 1 s per fragment. SEED is a docking software developed specifically for fragment docking and binding energy evaluation by a force field with implicit solvent. In the second stage of SEED2XR, the 10-10(2) fragments with the most favorable predicted binding energies are validated by protein X-ray crystallography. The recent applications of SEED2XR to bromodomains demonstrate that the whole SEED2XR protocol can be carried out in about a week of working time, with hit rates ranging from 10% to 40%. Information on fragment-target interactions generated by the SEED2XR protocol or directly from SEED docking has been used for the discovery of hundreds of hits. ALTA is a computational protocol for screening which identifies candidate ligands that preserve the interactions between the optimal SEED fragments and the protein target. Medicinal chemistry optimization of ligands predicted by ALTA has resulted in pre-clinical candidates for protein kinases and bromodomains. The high-throughput, very low cost, sustainability, and high hit rate of the SEED-based protocols, unreachable by purely experimental techniques, make them perfectly suitable for both academic and industrial drug discovery research. (C) 2018 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:907 / 917
页数:11
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